es.revisia/revisia
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Publisher-provided title
revisia
Publisher-provided description
Systematic reviews from chat: PRISMA 2020 diagrams, risk-of-bias figures, kappa and AI screening.
Summary by lookupd
Runs systematic review workflows from chat: search strategy, AI screening, data extraction, risk-of-bias, and PRISMA 2020 reporting outputs.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http revisia https://revisia.es/mcp
Codex, remote (streamable-http)
codex mcp add revisia --url https://revisia.es/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"revisia": {
"url": "https://revisia.es/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (26 tools)
Publisher-provided text
revisia_prisma_flow_diagramUse this when the user needs a PRISMA 2020 flow diagram for a systematic review and already has the counts per stage (records per database or register, duplicatrevisia_risk_of_bias_figureUse this when the user has risk-of-bias judgements per study and wants the traffic-light plot and the weighted or unweighted summary bar chart (robvis style) forevisia_interrater_agreementUse this when the user wants agreement statistics between reviewers, e.g. for dual screening or data extraction: Cohen's kappa (unweighted, linear or quadraticrevisia_prisma_checklistUse this when the user needs the completed PRISMA 2020 reporting checklist (27 items, plus the 12-item PRISMA 2020 for Abstracts) to submit with a manuscript. Trevisia_account_statusShow the signed-in researcher's plan, per-account caps and which bibliographic sources their plan unlocks. Call this before planning work that consumes quota (srevisia_helpReturn revisia's own guide for AI agents: what the platform does, the ten-stage methodological spine, and what an agent may and may not do on the researcher's brevisia_projectsUse this when you need the researcher's reviews or where one stands. action list: reviews owned by the account, newest first. action status: corpus size, identirevisia_projects_actUse this when the researcher wants a new review or to reword its question. action create (title and question required) first checks the question with revisia'srevisia_questionUse this when you need the review question, its concepts and the eligibility criteria, including AI-suggested criteria that are waiting for the researcher. actirevisia_question_actUse this when preparing stage 1 and the eligibility criteria. action check: AI quality check of the question of a review that already exists (framework, missingrevisia_searchUse this when you need the search strategy (action status: active and inactive concept blocks, the saved query per database, what each search retrieved, the latrevisia_search_actUse this when preparing stage 2. action build: AI proposes the concept blocks and saves them (save: false to only look); it runs as a job and answers at once, srevisia_screeningUse this when you need the title/abstract screening decisions: per record the decision, whether a human or the AI made it, and per criterion the verdict and therevisia_screening_actUse this when the researcher wants AI screening run or a screening decision recorded. action run: dry_run defaults to true and reports how many records the AI wrevisia_fulltextUse this when you need the full-text stage: which included records have a full text (PDF, PMC text or both), which were not retrieved, and the full-text decisiorevisia_fulltext_actUse this when the researcher wants open-access full texts retrieved (action fetch, no AI) or full-text screening run by AI (action run), or a full-text decisionrevisia_extractionUse this when you need the data extraction table: one row per included study, one column per variable, each cell with its value and whether its supporting quoterevisia_extraction_actUse this when preparing data extraction. action suggest_columns: AI proposes columns (not saved). action define_columns: save the columns the researcher acceptsrevisia_robUse this when you need the risk-of-bias assessments per study and domain with their supporting quotes (action summary, paginated) or the traffic-light and summarevisia_rob_actUse this when the researcher wants AI risk-of-bias drafts (action run; dry_run defaults to true), a study's instrument changed (action set_tool, e.g. robins_e frevisia_reportUse this when you need the review's outputs: the PRISMA 2020 flow diagram with its counts (action prisma), the citable Methods paragraph and how to cite revisiarevisia_report_actUse this when the researcher wants the manuscript draft written from the approved stages (action manuscript). dry_run defaults to true; dry_run false generatesrevisia_exportUse this when the researcher needs a file from the review: screening decisions (screening_csv), included or all references (refs_ris, refs_ris_all), the audit trevisia_jobsUse this after launching anything long (import, search, strategy build, criteria suggestion, screening, full text, extraction, risk of bias): it waits up to aborevisia_approve_stageUse this when a stage looks finished: it returns which stage awaits approval (the first unapproved one; later ones stay locked), what the researcher should checrevisia_approve_stage_actCalled only by the approve button that revisia_approve_stage shows, when the researcher presses it. Not for the assistant: it needs a one-time code only the but
Details
- Version: 2026.11.6
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 943 ms
- First indexed:
- Last seen in registry:
- Website: https://revisia.es/en/mcp/
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